Chemical Master Equation for Large Biological Networks (PDF)
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This book highlights the theory and practical applications of the chemical master equation (CME) approach for very large biochemical networks, which provides a powerful general framework for model building in a variety of biological networks. The aim of the book is to not only highlight advanced numerical solution methods for the CME, but also reveal their potential by means of practical examples. The case studies presented are mainly from biology; however, the applications from novel methods are discussed comprehensively, underlining the interdisciplinary approach in simulation and the potential of the chemical master equation approach for modelling bionetworks. The book is a valuable guide for researchers, graduate students, and professionals alike.
Rahul Kosarwal has a PhD in Computer Science from Lincoln University, New Zealand, and his Masters and Bachelors of Engineering in IT and Electronics Communication, respectively from RGPV University, India. Since 2008, he has initiated and led several industrial projects in the field of Artificial intelligence, Big data Analytics, and Algorithms and has expertise in creating cloud-based solution architectures. He holds one patent on simulation technology and has a book published on this technology in Germany. He has served as an editorial board/program committee member of various journals and conferences held and conducted by various universities in the UK, Australia, Dubai, Poland, India, Canada, etc. He is also a recipient of India's Promising Young Professional Award 2011: Best Entrepreneur of the Country (Knowledge partners: NASSCOM, The Indus Entrepreneurs, Columbia Engineering).
- Autoren: Don Kulasiri , Rahul Kosarwal
- 2021, 1st ed. 2021, 217 Seiten, Englisch
- Verlag: Springer Nature Singapore
- ISBN-10: 9811653518
- ISBN-13: 9789811653513
- Erscheinungsdatum: 12.09.2021
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- Grösse: 10 MB
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